大模型推理能力 - arXivDaily 专题

2202.04611 2022-02-10 cs.AI 79%

Task Modifiers for HTN Planning and Acting

Weihang Yuan, Hector Munoz-Avila, Venkatsampath Raja Gogineni, Sravya Kondrakunta, Michael Cox, Lifang He

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments Presented at The Ninth Advances in Cognitive Systems (ACS) Conference 2021 (arXiv:2201.06134)

2108.05533 2022-02-08 cs.LG math.OC stat.ML 79%

Efficient Local Planning with Linear Function Approximation

Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazić, Csaba Szepesvári

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments Algorithmic Learning Theory 2022

2010.06917 2022-02-07 cs.RO cs.LG 79%

UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning

Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments ICAR 2021, code available at https://github.com/theilem/uavSim

2201.10335 2022-01-26 cs.LG 79%

Tracking and Planning with Spatial World Models

Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer

专题命中规划推理：planning(title,abstract)；分类 cs.LG

2201.09467 2022-01-25 cs.MA cs.LG cs.RO 79%

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces

Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments To appear in the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)

2201.05475 2022-01-17 math.OC cs.LG 79%

SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems

Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis

专题命中规划推理：planning(title,abstract)；分类 cs.LG

2112.14699 2021-12-30 cs.RO cs.AI 79%

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation

Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments arXiv admin note: text overlap with arXiv:2008.09912

2112.12876 2021-12-28 cs.AI 79%

Learning to Walk with Dual Agents for Knowledge Graph Reasoning

Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong

专题命中规划推理：reasoning(title,abstract)；分类 cs.AI

2112.00903 2021-12-03 cs.AI cs.RO 79%

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2111.04972 2021-11-10 cs.LG 79%

Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning

Stefan Radic Webster, Peter Flach

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments Safe RL Workshop NeurIPS 2021

2110.14397 2021-10-28 cs.AI cs.LO 79%

A Preliminary Case Study of Planning With Complex Transitions: Plotting

Jordi Coll, Joan Espasa, Ian Miguel, Mateu Villaret

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments Presented in the 20th workshop on Constraint Modelling and Reformulation (October 25th, 2021). The workshop is integrated in the The 27th International Conference on Principles and Practice of Constraint Programming, CP2021

2110.08480 2021-10-19 cs.AI 79%

Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network

Rafid Ameer Mahmud, Fahim Faisal, Saaduddin Mahmud, Md. Mosaddek Khan

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2110.01770 2021-10-12 cs.CV cs.AI 79%

Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning

Jing Bi, Jiebo Luo, Chenliang Xu

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments ICCV 2021 Oral

2110.00898 2021-10-05 cs.AI 79%

A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances

Dieqiao Feng, Carla P. Gomes, Bart Selman

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2106.08826 2021-10-01 math.OC cs.AI 79%

A discrete optimisation approach for target path planning whilst evading sensors

J. E. Beasley

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2109.14325 2021-09-30 cs.RO cs.AI 79%

Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning

Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2109.08301 2021-09-20 cs.MA cs.AI 79%

Comprehensive Multi-Agent Epistemic Planning

Francesco Fabiano

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments In Proceedings ICLP 2021, arXiv:2109.07914. arXiv admin note: substantial text overlap with arXiv:1909.08259

Journal ref EPTCS 345, 2021, pp. 248-257

2109.00449 2021-09-08 cs.AI 79%

Planning from video game descriptions

Ignacio Vellido, Carlos Núñez-Molina, Vladislav Nikolov, Juan Fdez-Olivares

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments To be submitted to the Knowledge Engineering Review (KER) journal

2104.07606 2021-09-07 cs.CL 79%

Planning with Learned Entity Prompts for Abstractive Summarization

Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Vitaly Nikolaev, Ryan McDonald

专题命中规划推理：planning(title,abstract)；分类 cs.CL

Comments Accepted to appear at TACL (19 pages, pre-MIT Press publication version)

2107.12851 2021-08-03 cs.AI 79%

Task and Situation Structures for Service Agent Planning

Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2005.09611 2021-07-29 cs.RO cs.AI cs.IT math.IT 79%

Information-Theoretic Abstractions for Planning in Agents with Computational Constraints

Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Journal ref 2021 IEEE Robotics and Automation Letters (RA-L)

2107.12544 2021-07-28 cs.AI 79%

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

Pedro A. Tsividis, Joao Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum

专题命中规划推理：planning(title,abstract)；分类 cs.AI

1910.06070 2021-07-20 eess.SP cs.CV cs.LG cs.RO 79%

Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion

Hao Zhou, Jorge Laval, Anye Zhou, Yu Wang, Wenchao Wu, Zhu Qing, Srinivas Peeta

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments submitted to presentation at TRB 2020

2106.10442 2021-06-22 cs.LG stat.ML 79%

A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs

Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Di Gennaro, Giovanni Fioretti, Francesco Verolla, Amedeo Buonanno

专题命中规划推理：planning(title,abstract)；分类 cs.LG

2104.14461 2021-06-15 cs.AI 79%

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation

Mark T Keane, Eoin M Kenny, Mohammed Temraz, Derek Greene, Barry Smyth

专题命中规划推理：reasoning(title,abstract)；分类 cs.AI

Comments 7 pages,4 figures, 2 tables

Journal ref IJCAI-21 Workshop on DL-CBR-AML, July 2021

2010.12461 2021-06-04 cs.MA cs.IT cs.LG cs.RO cs.SY eess.SY math.IT 79%

Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning

Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments Modifications: final formatting; Code available under https://github.com/hbayerlein/uav_data_harvesting, article extends on arXiv:2007.00544

Journal ref IEEE Open Journal of the Communications Society, vol. 2, pp. 1171-1187, 2021

2106.00791 2021-06-03 cs.CL 79%

DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation

Xinyu Hua, Ashwin Sreevatsa, Lu Wang

专题命中规划推理：planning(title,abstract)；分类 cs.CL

Comments Accepted at ACL 2021. Project page: https://xinyuhua.github.io/Resources/acl21/

2105.10993 2021-05-25 cs.MA cs.AI cs.RO 79%

Cooperative Multi-Agent Path Finding: Beyond Path Planning and Collision Avoidance

Nir Greshler, Ofir Gordon, Oren Salzman, Nahum Shimkin

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments 9 pages, 5 figures

2105.09976 2021-05-24 cs.AI cs.LO cs.MA econ.TH math.LO 79%

Epistemic Planning with Attention as a Bounded Resource

Gaia Belardinelli, Rasmus K. Rendsvig

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2105.04088 2021-05-11 cs.AI 79%

PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning

Hanqing Wang, Zan Wang, Wei Liang, Lap-Fai Yu

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments 7 pages, 4 figures

1. 规划推理 11027 篇

Task Modifiers for HTN Planning and Acting

Efficient Local Planning with Linear Function Approximation

UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning

Tracking and Planning with Spatial World Models

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces

SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation

Learning to Walk with Dual Agents for Knowledge Graph Reasoning

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning

A Preliminary Case Study of Planning With Complex Transitions: Plotting

Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network

Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning

A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances

A discrete optimisation approach for target path planning whilst evading sensors

Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning

Comprehensive Multi-Agent Epistemic Planning

Planning from video game descriptions

Planning with Learned Entity Prompts for Abstractive Summarization

Task and Situation Structures for Service Agent Planning

Information-Theoretic Abstractions for Planning in Agents with Computational Constraints

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion

A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation

Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning

DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation

Cooperative Multi-Agent Path Finding: Beyond Path Planning and Collision Avoidance

Epistemic Planning with Attention as a Bounded Resource

PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning